Innovation efficiency of Chinese provincial high-tech industries based on shared feedback DEA model

ZHU Yu1,2 YANG Feng2 JIANG Li-jing2 LIU Pei2

(1.School of Management Engineering, Anhui Polytechnic University, Wuhu, Anhui Province, China 241000)
(2.School of Management, University of Science and Technology of China, Hefei, Anhui Province, China 230026)

【Abstract】Data envelopment analysis (DEA) has been proved to be an excellent approach for measuring of innovation performance of high-tech industries, but the existing literature ignores that enterprises will return the economic benefits of innovation to two stages for further development and production, so as to ensure continuous innovation. Therefore, this paper combines the characteristics of the innovation process of high-tech industries into two stages of technology R&D and commercial transformation. A two-stage efficiency measuring model considering shared feedback is proposed, which not only extends the DEA methods, but also promotes the research on innovation performance management. The empirical results show that the overall efficiency of Chinese high-tech industries is good, though there is still room for improvement. However, the regional development is unbalanced, and there are obvious regional differences in the efficiency scores in different stages. The implementation of targeted management is an effective measure to improve the innovation performance.

【Keywords】 high-tech industries; data envelopment analysis(DEA); shared feedback; two-stage; innovation efficiency;


【Funds】 Philosophy and Social Science Fund for Young Scholars of Anhui Province, China (AHSKQ2015D51)

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This Article


CN: 31-1012/F

Vol 46, No. 01, Pages 19-33

January 2020


Article Outline



  • 0 Introduction
  • 1 Two-stage DEA model based on shared feedback
  • 2 Empirical implementation and analysis
  • 3 Conclusions
  • References